The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
DPYD genotype-guided dose individualisation of fluoropyrimidine therapy in patients with cancer: a prospective safety analysis
Open accessAbstract
BACKGROUND Fluoropyrimidine treatment can result in severe toxicity in up to 30% of patients and is often the result of reduced activity of the key metabolic enzyme dihydropyrimidine dehydrogenase (DPD), mostly caused by genetic variants in the gene encoding DPD (DPYD). We assessed the effect of prospective screening for the four most relevant DPYD variants (DPYD*2A [rs3918290, c.1905+1G>A, IVS14+1G>A], c.2846A>T [rs67376798, D949V], c.1679T>G [rs55886062, DPYD*13, I560S], and c.1236G>A [rs56038477, E412E, in haplotype B3]) on patient safety and subsequent DPYD genotype-guided dose individualisation in daily clinical care. METHODS In this prospective, multicentre, safety analysis in 17 hospitals in the Netherlands, the study population consisted of adult patients (≥18 years) with cancer who were intended to start on a fluoropyrimidine-based anticancer therapy (capecitabine or fluorouracil as single agent or in combination with other chemotherapeutic agents or radiotherapy). Patients with all tumour types for which fluoropyrimidine-based therapy was considered in their best interest were eligible. We did prospective genotyping for DPYD*2A, c.2846A>T, c.1679T>G, and c.1236G>A. Heterozygous DPYD variant allele carriers received an initial dose reduction of 25% (c.2846A>T and c.1236G>A) or 50% (DPYD*2A and c.1679T>G), and DPYD wild-type patients were treated according to the current standard of care. The primary endpoint of the study was the frequency of severe (National Cancer Institute Common Terminology Criteria for Adverse Events version 4.03 grade ≥3) overall fluoropyrimidine-related toxicity across the entire treatment duration. We compared toxicity incidence between DPYD variant allele carriers and DPYD wild-type patients on an intention-to-treat basis, and relative risks (RRs) for severe toxicity were compared between the current study and a historical cohort of DPYD variant allele carriers treated with full dose fluoropyrimidine-based therapy (derived from a previously published meta-analysis). This trial is registered with ClinicalTrials.gov, number NCT02324452, and is complete. FINDINGS Between April 30, 2015, and Dec 21, 2017, we enrolled 1181 patients. 78 patients were considered non-evaluable, because they were retrospectively identified as not meeting inclusion criteria, did not start fluoropyrimidine-based treatment, or were homozygous or compound heterozygous DPYD variant allele carriers. Of 1103 evaluable patients, 85 (8%) were heterozygous DPYD variant allele carriers, and 1018 (92%) were DPYD wild-type patients. Overall, fluoropyrimidine-related severe toxicity was higher in DPYD variant carriers (33 [39%] of 85 patients) than in wild-type patients (231 [23%] of 1018 patients; p=0·0013). The RR for severe fluoropyrimidine-related toxicity was 1·31 (95% CI 0·63-2·73) for genotype-guided dosing compared with 2·87 (2·14-3·86) in the historical cohort for DPYD*2A carriers, no toxicity compared with 4·30 (2·10-8·80) in c.1679T>G carriers, 2·00 (1·19-3·34) compared with 3·11 (2·25-4·28) for c.2846A>T carriers, and 1·69 (1·18-2·42) compared with 1·72 (1·22-2·42) for c.1236G>A carriers. INTERPRETATION Prospective DPYD genotyping was feasible in routine clinical practice, and DPYD genotype-based dose reductions improved patient safety of fluoropyrimidine treatment. For DPYD*2A and c.1679T>G carriers, a 50% initial dose reduction was adequate. For c.1236G>A and c.2846A>T carriers, a larger dose reduction of 50% (instead of 25%) requires investigation. Since fluoropyrimidines are among the most commonly used anticancer agents, these findings suggest that implementation of DPYD genotype-guided individualised dosing should be a new standard of care. FUNDING Dutch Cancer Society.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
5-Fluorouracil: mechanisms of action and clinical strategies
Longley, D. B., Harkin, D. P., & Johnston, P. G. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1074 · Cited by 5,332
Cited by
Dekker, E., Tanis, P. J., Vleugels, J. L. A., Kasi, P. M., & Wallace, M. B. (2019) · The Lancet · doi:10.1016/s0140-6736(19)32319-0 · Cited by 4,974
Localised colon cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
Argilés, G., Tabernero, J., Labianca, R., Hochhauser, D., Salazar, R., Iveson, T., Laurent-Puig, P., Quirke, P., Yoshino, T., Taieb, J., et al. (2020) · Annals of Oncology · doi:10.1016/j.annonc.2020.06.022 · Cited by 1,375
A narrative review of genetic factors affecting fluoropyrimidine toxicity
Gmeiner, W. H. (2021) · Precision Cancer Medicine · doi:10.21037/pcm-21-17 · Cited by 25
Duran, G., Cruz, R., Simoes, A. R., Barros, F., Giráldez, J. M., Bernárdez, B., Anido, U., Candamio, S., López-López, R., Carracedo, Á., et al. (2020) · Journal of Chemotherapy · doi:10.1080/1120009x.2020.1764281 · Cited by 12
Metadata
- Authors
- Henricks, L. M., Lunenburg, C. A. T. C., de Man, F. M., Meulendijks, D., Frederix, G. W. J., Kienhuis, E., Creemers, G.-J., Baars, A., Dezentjé, V. O., Imholz, A. L. T., Jeurissen, F. J. F., Portielje, J. E. A., Jansen, R. L. H., Hamberg, P., ten Tije, A. J., Droogendijk, H. J., Koopman, M., Nieboer, P., van de Poel, M. H. W., Mandigers, C. M. P. W., Rosing, H., Beijnen, J. H., Werkhoven, E. V., van Kuilenburg, A. B. P., van Schaik, R. H. N., Mathijssen, R. H. J., Swen, J. J., Gelderblom, H., Cats, A., Guchelaar, H.-J., & Schellens, J. H. M.
- Venue
- The Lancet Oncology
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 19
- Issue
- 11
- Pages
- 1459-1467
- ISSN
- 1470-2045 (ISSN-L)
- OpenAlex
- W2896913847
- Cited by
- 444
- References
- 1
- FWCI
- 36.34
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: DPYD genotype-guided dose individualisation of fluoropyrimidine therapy in patients with cancer: a prospective safety analysis. https://app.cochat.ai/papers/10.1016/s1470-2045(18)30686-7
- The paper
- Henricks, L. M., Lunenburg, C. A. T. C., de Man, F. M., Meulendijks, D., Frederix, G. W. J., Kienhuis, E., Creemers, G.-J., Baars, A., Dezentjé, V. O., Imholz, A. L. T., Jeurissen, F. J. F., Portielje, J. E. A., Jansen, R. L. H., Hamberg, P., ten Tije, A. J., Droogendijk, H. J., Koopman, M., Nieboer, P., van de Poel, M. H. W., . . . Schellens, J. H. M. (2018). DPYD genotype-guided dose individualisation of fluoropyrimidine therapy in patients with cancer: a prospective safety analysis. The Lancet Oncology. https://doi.org/10.1016/s1470-2045(18)30686-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.